CONNECTING BRAINS AND ROBOTS BY COMPUTATIONAL THEORIES
作者单位：ATR Computational Neuroscience Laboratories
会议名称：《2005 International Conference on Neural Networks and Brain(ICNN&B’05)》
会议日期：2005年
学科分类：080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0802[工学-机械工程]
关 键 词：Joining processes Robots Biology computing Biological system modeling Computer networks Laboratories Legged locomotion Learning Bayesian methods Decoding
摘 要：正In ATR Computational Neuroscience Laboratories,a series of computational,imaging, neurophysiological and robotics studies explored several key concepts such as cerebellar internal models,multiple internal models,MOSAIC,imitation learning,biologically motivated robot biped locomotion,modular and hierarchical reinforcement learning *** efforts in ATR CNS labs including computational-model based imaging,hierarchical variational Bayesian method in fMRI-MEG combination,non-invasive decoding of neural representations,and robotics experiments could be the bases of the new methodology in *** you have a computational theory,which postulates that some brain networks solve some computational problems and a specific brain locus contains a specific computational *** extract this information either by some non-invasive method or unit recording,and manipulate this by altered computational algorithms derived from the *** altered or processed information is fed back into a robot and then to the brain by appropriate methods（*** or tactile feedbacks,TMS,electrical stimulation）.I explain bases of this new approach.